A Reliability Generalization Meta-analysis of the PERMA-Profiler

KARABACAK ÇELİK A.

Social Indicators Research, cilt.177, sa.3, ss.1027-1050, 2025 (SSCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 177 Sayı: 3
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s11205-025-03547-4
  • Dergi Adı: Social Indicators Research
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, FRANCIS, IBZ Online, International Bibliography of Social Sciences, Periodicals Index Online, ABI/INFORM, Abstracts in Social Gerontology, Business Source Elite, Business Source Premier, CAB Abstracts, Communication Abstracts, EBSCO Education Source, EconLit, Geobase, Index Islamicus, Philosopher's Index, Political Science Complete, Psycinfo, Public Administration Abstracts, Social services abstracts, Sociological abstracts, Veterinary Science Database, Worldwide Political Science Abstracts
  • Sayfa Sayıları: ss.1027-1050
  • Anahtar Kelimeler: Meta-analysis, PERMA-profiler, Reliability generalization, Well-being
  • Atatürk Üniversitesi Adresli: Evet

Özet

PERMA-Profiler is a well-being scale to measure multi-component well-being regarding Seligman’s approach. The validity and reliability results have demonstrated that its score is valid and reliable in the original study, but it is important to indicate and generalize the results of it. To this end, we performed a reliability generalization meta-analysis using 71 Cronbach alpha coefficients from empirical studies that met the inclusion criteria. We used the random-effects model using Bonett’s transformation method. The pooled alpha was 0.914, 95% CI [0.902–0.925] for the overall PERMA-Profiler, 0.857, 95% CI [0.842–0.871] for Positive emotions, 0.657, 95% CI [0.623–0.690] for Engagement, 0.804, 95% CI [0.780–0.829] for Relationship, 0.855, 95% CI [0.838–0.871] for Meaning, 0.783, 95% CI [0.760–0.805] for Accomplishment. Meta-regression and analog to the ANOVA analysis indicated that continuous and categorical variables did not significantly affect reliability estimates except for the Likert type. As a result, we proposed suggestions for substantive research using the PERMA-Profiler and future psychometric research on it.